Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	106644
Missing cells	237695
Missing cells (%)	9.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.7 MiB
Average record size in memory	184.0 B

Variable types

Categorical	5
Numeric	16
Boolean	2

Warnings

`Date` has a high cardinality: 3399 distinct values	High cardinality
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 5 other fields	High correlation
`Evaporation` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`Sunshine` is highly correlated with `Humidity3pm` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`Humidity3pm` is highly correlated with `MaxTemp` and 5 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 5 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 3 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Evaporation` is highly correlated with `MinTemp` and 4 other fields	High correlation
`Sunshine` is highly correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Humidity9am` is highly correlated with `Evaporation` and 2 other fields	High correlation
`Humidity3pm` is highly correlated with `Sunshine` and 4 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Sunshine` and 2 other fields	High correlation
`Temp9am` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 5 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 3 other fields	High correlation
`Rainfall` is highly correlated with `MaxTemp`	High correlation
`Sunshine` is highly correlated with `Cloud9am` and 1 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Sunshine`	High correlation
`Cloud3pm` is highly correlated with `Sunshine`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `RainTomorrow` and 3 other fields	High correlation
`Temp9am` is highly correlated with `Pressure3pm` and 6 other fields	High correlation
`Pressure3pm` is highly correlated with `Temp9am` and 2 other fields	High correlation
`WindGustDir` is highly correlated with `Location` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `Temp9am` and 5 other fields	High correlation
`MaxTemp` is highly correlated with `Temp9am` and 5 other fields	High correlation
`Location` is highly correlated with `Temp9am` and 8 other fields	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed3pm` and 1 other fields	High correlation
`Pressure9am` is highly correlated with `Temp9am` and 2 other fields	High correlation
`MinTemp` is highly correlated with `Temp9am` and 5 other fields	High correlation
`RainToday` is highly correlated with `Humidity3pm`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `Temp9am` and 6 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`RainTomorrow` is highly correlated with `Cloud3pm` and 2 other fields	High correlation
`WindDir9am` is highly correlated with `WindGustDir` and 2 other fields	High correlation
`WindDir3pm` is highly correlated with `WindGustDir` and 2 other fields	High correlation
`Sunshine` is highly correlated with `Cloud3pm` and 4 other fields	High correlation
`Cloud9am` is highly correlated with `Cloud3pm` and 3 other fields	High correlation
`Humidity3pm` is highly correlated with `Cloud3pm` and 8 other fields	High correlation
`Evaporation` has 45670 (42.8%) missing values	Missing
`Sunshine` has 50926 (47.8%) missing values	Missing
`WindGustDir` has 6984 (6.5%) missing values	Missing
`WindGustSpeed` has 6942 (6.5%) missing values	Missing
`WindDir9am` has 7478 (7.0%) missing values	Missing
`WindDir3pm` has 2856 (2.7%) missing values	Missing
`WindSpeed3pm` has 1991 (1.9%) missing values	Missing
`Humidity9am` has 1317 (1.2%) missing values	Missing
`Humidity3pm` has 2712 (2.5%) missing values	Missing
`Pressure9am` has 10537 (9.9%) missing values	Missing
`Pressure3pm` has 10521 (9.9%) missing values	Missing
`Cloud9am` has 40341 (37.8%) missing values	Missing
`Cloud3pm` has 42953 (40.3%) missing values	Missing
`Temp3pm` has 2045 (1.9%) missing values	Missing
`Rainfall` has 67803 (63.6%) zeros	Zeros
`Sunshine` has 1752 (1.6%) zeros	Zeros
`WindSpeed9am` has 6441 (6.0%) zeros	Zeros
`Cloud9am` has 6411 (6.0%) zeros	Zeros
`Cloud3pm` has 3684 (3.5%) zeros	Zeros

Reproduction

Analysis started	2021-08-05 07:29:58.351888
Analysis finished	2021-08-05 07:56:58.858948
Duration	27 minutes and 0.51 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Date
Categorical

HIGH CARDINALITY

Distinct	3399
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	833.3 KiB

2013/6/10	46
2015/8/9	44
2016/10/6	44
2013/12/16	44
2017/1/9	44
Other values (3394)	106422

Length

Max length	10
Median length	9
Mean length	8.943981846
Min length	8

Characters and Unicode

Total characters	953822
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	128 ?
Unique (%)	0.1%

Sample

1st row	2012/1/19
2nd row	2015/4/13
3rd row	2010/8/5
4th row	2013/3/18
5th row	2011/2/16

Common Values

Value	Count	Frequency (%)
2013/6/10	46	< 0.1%
2015/8/9	44	< 0.1%
2016/10/6	44	< 0.1%
2013/12/16	44	< 0.1%
2017/1/9	44	< 0.1%
2016/5/17	44	< 0.1%
2013/10/12	43	< 0.1%
2015/6/24	43	< 0.1%
2017/2/20	43	< 0.1%
2016/5/7	43	< 0.1%
Other values (3389)	106206	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2013/6/10	46	< 0.1%
2015/8/9	44	< 0.1%
2016/10/6	44	< 0.1%
2013/12/16	44	< 0.1%
2017/1/9	44	< 0.1%
2016/5/17	44	< 0.1%
2013/10/12	43	< 0.1%
2015/6/24	43	< 0.1%
2017/2/20	43	< 0.1%
2016/5/7	43	< 0.1%
Other values (3389)	106206	99.6%

Most occurring characters

Value	Count	Frequency (%)
/	213288	22.4%
1	195211	20.5%
2	179269	18.8%
0	152351	16.0%
3	37600	3.9%
5	33150	3.5%
6	32928	3.5%
4	32031	3.4%
9	31255	3.3%
7	25764	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	740534	77.6%
Other Punctuation	213288	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	195211	26.4%
2	179269	24.2%
0	152351	20.6%
3	37600	5.1%
5	33150	4.5%
6	32928	4.4%
4	32031	4.3%
9	31255	4.2%
7	25764	3.5%
8	20975	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	213288	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	953822	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	213288	22.4%
1	195211	20.5%
2	179269	18.8%
0	152351	16.0%
3	37600	3.9%
5	33150	3.5%
6	32928	3.5%
4	32031	3.4%
9	31255	3.3%
7	25764	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	953822	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	213288	22.4%
1	195211	20.5%
2	179269	18.8%
0	152351	16.0%
3	37600	3.9%
5	33150	3.5%
6	32928	3.5%
4	32031	3.4%
9	31255	3.3%
7	25764	2.7%

Location
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	833.3 KiB

Canberra	2540
Sydney	2502
Perth	2404
Darwin	2384
Hobart	2384
Other values (44)	94430

Length

Max length	16
Median length	8
Mean length	8.700526987
Min length	4

Characters and Unicode

Total characters	927859
Distinct characters	40
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MountGinini
2nd row	Nhil
3rd row	Nuriootpa
4th row	Adelaide
5th row	Sale

Common Values

Value	Count	Frequency (%)
Canberra	2540	2.4%
Sydney	2502	2.3%
Perth	2404	2.3%
Darwin	2384	2.2%
Hobart	2384	2.2%
Brisbane	2384	2.2%
Adelaide	2328	2.2%
SydneyAirport	2295	2.2%
Watsonia	2277	2.1%
Mildura	2276	2.1%
Other values (39)	82870	77.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canberra	2540	2.4%
sydney	2502	2.3%
perth	2404	2.3%
darwin	2384	2.2%
hobart	2384	2.2%
brisbane	2384	2.2%
adelaide	2328	2.2%
sydneyairport	2295	2.2%
watsonia	2277	2.1%
mildura	2276	2.1%
Other values (39)	82870	77.7%

Most occurring characters

Value	Count	Frequency (%)
a	86798	9.4%
r	85836	9.3%
o	79720	8.6%
e	75757	8.2%
n	66296	7.1%
l	57106	6.2%
i	55788	6.0%
t	43710	4.7%
d	27262	2.9%
s	26957	2.9%
Other values (30)	322629	34.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	783943	84.5%
Uppercase Letter	143916	15.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	86798	11.1%
r	85836	10.9%
o	79720	10.2%
e	75757	9.7%
n	66296	8.5%
l	57106	7.3%
i	55788	7.1%
t	43710	5.6%
d	27262	3.5%
s	26957	3.4%
Other values (12)	178713	22.8%

Uppercase Letter

Value	Count	Frequency (%)
A	19970	13.9%
W	17432	12.1%
C	13741	9.5%
M	12938	9.0%
S	11535	8.0%
P	11217	7.8%
N	9975	6.9%
B	9118	6.3%
G	8922	6.2%
H	6844	4.8%
Other values (8)	22224	15.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	927859	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	86798	9.4%
r	85836	9.3%
o	79720	8.6%
e	75757	8.2%
n	66296	7.1%
l	57106	6.2%
i	55788	6.0%
t	43710	4.7%
d	27262	2.9%
s	26957	2.9%
Other values (30)	322629	34.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	927859	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	86798	9.4%
r	85836	9.3%
o	79720	8.6%
e	75757	8.2%
n	66296	7.1%
l	57106	6.2%
i	55788	6.0%
t	43710	4.7%
d	27262	2.9%
s	26957	2.9%
Other values (30)	322629	34.8%

MinTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	385
Distinct (%)	0.4%
Missing	461
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	12.1861475

Minimum	-8.5
Maximum	31.9
Zeros	118
Zeros (%)	0.1%
Negative	2549
Negative (%)	2.4%
Memory size	833.3 KiB

Quantile statistics

Minimum	-8.5
5-th percentile	1.8
Q1	7.6
median	12
Q3	16.8
95-th percentile	23
Maximum	31.9
Range	40.4
Interquartile range (IQR)	9.2

Descriptive statistics

Standard deviation	6.399877034
Coefficient of variation (CV)	0.5251763967
Kurtosis	-0.4897134661
Mean	12.1861475
Median Absolute Deviation (MAD)	4.6
Skewness	0.02141842667
Sum	1293961.7
Variance	40.95842605
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.2	705	0.7%
10.5	664	0.6%
11	654	0.6%
9	652	0.6%
9.6	649	0.6%
10	645	0.6%
8.9	642	0.6%
11.5	636	0.6%
12.7	634	0.6%
10.8	634	0.6%
Other values (375)	99668	93.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-8.5	1	< 0.1%
-8.2	1	< 0.1%
-8	1	< 0.1%
-7.8	1	< 0.1%
-7.6	2	< 0.1%
-7.5	1	< 0.1%
-7.3	1	< 0.1%
-7.2	1	< 0.1%
-7.1	1	< 0.1%
-7	6	< 0.1%

Value	Count	Frequency (%)
31.9	1	< 0.1%
31.4	1	< 0.1%
31	1	< 0.1%
30.7	1	< 0.1%
30.3	1	< 0.1%
30.2	1	< 0.1%
29.9	1	< 0.1%
29.8	1	< 0.1%
29.7	3	< 0.1%
29.6	2	< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	499
Distinct (%)	0.5%
Missing	231
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	23.23589505

Minimum	-4.8
Maximum	48.1
Zeros	10
Zeros (%)	< 0.1%
Negative	75
Negative (%)	0.1%
Memory size	833.3 KiB

Quantile statistics

Minimum	-4.8
5-th percentile	12.8
Q1	17.9
median	22.6
Q3	28.3
95-th percentile	35.5
Maximum	48.1
Range	52.9
Interquartile range (IQR)	10.4

Descriptive statistics

Standard deviation	7.127716307
Coefficient of variation (CV)	0.3067545404
Kurtosis	-0.2507746241
Mean	23.23589505
Median Absolute Deviation (MAD)	5.1
Skewness	0.2274692652
Sum	2472601.3
Variance	50.80433975
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20.4	623	0.6%
20	623	0.6%
19.4	610	0.6%
20.2	607	0.6%
18.9	603	0.6%
19.9	602	0.6%
19	602	0.6%
20.8	601	0.6%
18	599	0.6%
19.5	595	0.6%
Other values (489)	100348	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-4.8	1	< 0.1%
-4.1	1	< 0.1%
-3.8	1	< 0.1%
-3.1	1	< 0.1%
-3	1	< 0.1%
-2.9	1	< 0.1%
-2.5	2	< 0.1%
-2.4	1	< 0.1%
-2.3	1	< 0.1%
-2.2	2	< 0.1%

Value	Count	Frequency (%)
48.1	1	< 0.1%
47	1	< 0.1%
46.9	1	< 0.1%
46.8	2	< 0.1%
46.7	2	< 0.1%
46.5	1	< 0.1%
46.4	4	< 0.1%
46.3	2	< 0.1%
46.1	3	< 0.1%
46	2	< 0.1%

Rainfall
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	628
Distinct (%)	0.6%
Missing	1034
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.346357353

Minimum	0
Maximum	268.6
Zeros	67803
Zeros (%)	63.6%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.6
95-th percentile	13
Maximum	268.6
Range	268.6
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	8.413614353
Coefficient of variation (CV)	3.585819672
Kurtosis	133.1871606
Mean	2.346357353
Median Absolute Deviation (MAD)	0
Skewness	9.046849764
Sum	247798.8
Variance	70.78890647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	67803	63.6%
0.2	6483	6.1%
0.4	2830	2.7%
0.6	1918	1.8%
0.8	1522	1.4%
1	1292	1.2%
1.2	1133	1.1%
1.4	1023	1.0%
1.6	901	0.8%
1.8	833	0.8%
Other values (618)	19872	18.6%
(Missing)	1034	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	67803	63.6%
0.1	123	0.1%
0.2	6483	6.1%
0.3	46	< 0.1%
0.4	2830	2.7%
0.5	29	< 0.1%
0.6	1918	1.8%
0.7	11	< 0.1%
0.8	1522	1.4%
0.9	8	< 0.1%

Value	Count	Frequency (%)
268.6	1	< 0.1%
247.2	1	< 0.1%
240	1	< 0.1%
236.8	1	< 0.1%
225	1	< 0.1%
219.6	1	< 0.1%
216.3	1	< 0.1%
208.5	1	< 0.1%
206.2	1	< 0.1%
184.6	1	< 0.1%

Evaporation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	338
Distinct (%)	0.6%
Missing	45670
Missing (%)	42.8%
Infinite	0
Infinite (%)	0.0%
Mean	5.479720865

Minimum	0
Maximum	145
Zeros	188
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2.6
median	4.8
Q3	7.4
95-th percentile	12
Maximum	145
Range	145
Interquartile range (IQR)	4.8

Descriptive statistics

Standard deviation	4.21177804
Coefficient of variation (CV)	0.7686117859
Kurtosis	49.57606849
Mean	5.479720865
Median Absolute Deviation (MAD)	2.4
Skewness	3.888045746
Sum	334120.5
Variance	17.73907426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	2468	2.3%
8	1914	1.8%
2.2	1565	1.5%
2.6	1494	1.4%
1.8	1486	1.4%
2.4	1484	1.4%
2	1479	1.4%
3.4	1455	1.4%
3.2	1438	1.3%
2.8	1418	1.3%
Other values (328)	44773	42.0%
(Missing)	45670	42.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	188	0.2%
0.1	4	< 0.1%
0.2	358	0.3%
0.3	8	< 0.1%
0.4	567	0.5%
0.5	11	< 0.1%
0.6	778	0.7%
0.7	17	< 0.1%
0.8	1020	1.0%
0.9	18	< 0.1%

Value	Count	Frequency (%)
145	1	< 0.1%
86.2	1	< 0.1%
82.4	1	< 0.1%
77.3	1	< 0.1%
74.8	1	< 0.1%
72.2	1	< 0.1%
70.4	1	< 0.1%
68.8	2	< 0.1%
65.8	1	< 0.1%
65.4	1	< 0.1%

Sunshine
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	145
Distinct (%)	0.3%
Missing	50926
Missing (%)	47.8%
Infinite	0
Infinite (%)	0.0%
Mean	7.630220037

Minimum	0
Maximum	14.5
Zeros	1752
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	4.9
median	8.5
Q3	10.7
95-th percentile	12.8
Maximum	14.5
Range	14.5
Interquartile range (IQR)	5.8

Descriptive statistics

Standard deviation	3.785116119
Coefficient of variation (CV)	0.496069065
Kurtosis	-0.8221447238
Mean	7.630220037
Median Absolute Deviation (MAD)	2.6
Skewness	-0.504584177
Sum	425140.6
Variance	14.32710403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1752	1.6%
10.7	815	0.8%
11	809	0.8%
10.8	801	0.8%
10.5	765	0.7%
10.9	760	0.7%
10.3	753	0.7%
10	745	0.7%
10.2	733	0.7%
9.8	722	0.7%
Other values (135)	47063	44.1%
(Missing)	50926	47.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1752	1.6%
0.1	406	0.4%
0.2	376	0.4%
0.3	317	0.3%
0.4	236	0.2%
0.5	226	0.2%
0.6	210	0.2%
0.7	250	0.2%
0.8	228	0.2%
0.9	230	0.2%

Value	Count	Frequency (%)
14.5	1	< 0.1%
14.3	3	< 0.1%
14.2	2	< 0.1%
14.1	3	< 0.1%
14	14	< 0.1%
13.9	18	< 0.1%
13.8	42	< 0.1%
13.7	88	0.1%
13.6	132	0.1%
13.5	127	0.1%

WindGustDir
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	6984
Missing (%)	6.5%
Memory size	833.3 KiB

W	7316
SE	6927
E	6816
SSE	6780
N	6780
Other values (11)	65041

Length

Max length	3
Median length	2
Mean length	2.195454545
Min length	1

Characters and Unicode

Total characters	218799
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	E
3rd row	W
4th row	SE
5th row	E

Common Values

Value	Count	Frequency (%)
W	7316	6.9%
SE	6927	6.5%
E	6816	6.4%
SSE	6780	6.4%
N	6780	6.4%
S	6764	6.3%
SW	6622	6.2%
WSW	6573	6.2%
SSW	6454	6.1%
NW	6062	5.7%
Other values (6)	32566	30.5%
(Missing)	6984	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
w	7316	7.3%
se	6927	7.0%
e	6816	6.8%
n	6780	6.8%
sse	6780	6.8%
s	6764	6.8%
sw	6622	6.6%
wsw	6573	6.6%
ssw	6454	6.5%
nw	6062	6.1%
Other values (6)	32566	32.7%

Most occurring characters

Value	Count	Frequency (%)
S	58834	26.9%
W	56593	25.9%
E	53651	24.5%
N	49721	22.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	218799	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	58834	26.9%
W	56593	25.9%
E	53651	24.5%
N	49721	22.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218799	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	58834	26.9%
W	56593	25.9%
E	53651	24.5%
N	49721	22.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	218799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	58834	26.9%
W	56593	25.9%
E	53651	24.5%
N	49721	22.7%

WindGustSpeed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	66
Distinct (%)	0.1%
Missing	6942
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	39.97222724

Minimum	6
Maximum	135
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	6
5-th percentile	20
Q1	31
median	39
Q3	48
95-th percentile	65
Maximum	135
Range	129
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.59954316
Coefficient of variation (CV)	0.3402248036
Kurtosis	1.393631565
Mean	39.97222724
Median Absolute Deviation (MAD)	9
Skewness	0.8720399573
Sum	3985311
Variance	184.9475742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	6847	6.4%
39	6473	6.1%
31	6211	5.8%
37	5974	5.6%
33	5886	5.5%
41	5327	5.0%
30	5210	4.9%
43	4885	4.6%
28	4794	4.5%
44	4015	3.8%
Other values (56)	44080	41.3%
(Missing)	6942	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	< 0.1%
7	15	< 0.1%
9	69	0.1%
11	144	0.1%
13	392	0.4%
15	635	0.6%
17	1060	1.0%
19	1301	1.2%
20	1925	1.8%
22	2089	2.0%

Value	Count	Frequency (%)
135	2	< 0.1%
130	1	< 0.1%
126	2	< 0.1%
122	1	< 0.1%
120	2	< 0.1%
117	2	< 0.1%
115	4	< 0.1%
113	7	< 0.1%
111	2	< 0.1%
109	4	< 0.1%

WindDir9am
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	7478
Missing (%)	7.0%
Memory size	833.3 KiB

N	8545
SE	6896
E	6729
SSE	6702
NW	6430
Other values (11)	63864

Length

Max length	3
Median length	2
Mean length	2.185718896
Min length	1

Characters and Unicode

Total characters	216749
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	E
3rd row	N
4th row	E
5th row	NE

Common Values

Value	Count	Frequency (%)
N	8545	8.0%
SE	6896	6.5%
E	6729	6.3%
SSE	6702	6.3%
NW	6430	6.0%
S	6369	6.0%
SW	6193	5.8%
W	6169	5.8%
NNE	5979	5.6%
NNW	5897	5.5%
Other values (6)	33257	31.2%
(Missing)	7478	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	8545	8.6%
se	6896	7.0%
e	6729	6.8%
sse	6702	6.8%
nw	6430	6.5%
s	6369	6.4%
sw	6193	6.2%
w	6169	6.2%
nne	5979	6.0%
nnw	5897	5.9%
Other values (6)	33257	33.5%

Most occurring characters

Value	Count	Frequency (%)
N	55493	25.6%
S	55013	25.4%
E	54836	25.3%
W	51407	23.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	216749	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	55493	25.6%
S	55013	25.4%
E	54836	25.3%
W	51407	23.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	216749	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	55493	25.6%
S	55013	25.4%
E	54836	25.3%
W	51407	23.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	216749	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	55493	25.6%
S	55013	25.4%
E	54836	25.3%
W	51407	23.7%

WindDir3pm
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	2856
Missing (%)	2.7%
Memory size	833.3 KiB

SE	7939
W	7484
S	7217
WSW	6993
SSE	6899
Other values (11)	67256

Length

Max length	3
Median length	2
Mean length	2.208097275
Min length	1

Characters and Unicode

Total characters	229174
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NW
2nd row	NNE
3rd row	W
4th row	WSW
5th row	E

Common Values

Value	Count	Frequency (%)
SE	7939	7.4%
W	7484	7.0%
S	7217	6.8%
WSW	6993	6.6%
SSE	6899	6.5%
SW	6843	6.4%
WNW	6518	6.1%
N	6476	6.1%
NW	6384	6.0%
ESE	6301	5.9%
Other values (6)	34734	32.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
se	7939	7.6%
w	7484	7.2%
s	7217	7.0%
wsw	6993	6.7%
sse	6899	6.6%
sw	6843	6.6%
wnw	6518	6.3%
n	6476	6.2%
nw	6384	6.2%
ese	6301	6.1%
Other values (6)	34734	33.5%

Most occurring characters

Value	Count	Frequency (%)
S	60937	26.6%
W	59411	25.9%
E	56254	24.5%
N	52572	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	229174	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	60937	26.6%
W	59411	25.9%
E	56254	24.5%
N	52572	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	229174	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	60937	26.6%
W	59411	25.9%
E	56254	24.5%
N	52572	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	229174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	60937	26.6%
W	59411	25.9%
E	56254	24.5%
N	52572	22.9%

WindSpeed9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	42
Distinct (%)	< 0.1%
Missing	1001
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	13.99292902

Minimum	0
Maximum	130
Zeros	6441
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	13
Q3	19
95-th percentile	30
Maximum	130
Range	130
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.873859515
Coefficient of variation (CV)	0.6341674073
Kurtosis	1.272104202
Mean	13.99292902
Median Absolute Deviation (MAD)	6
Skewness	0.7734114553
Sum	1478255
Variance	78.74538269
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
9	10099	9.5%
13	9670	9.1%
11	8644	8.1%
17	8009	7.5%
7	7928	7.4%
15	7776	7.3%
6	6720	6.3%
0	6441	6.0%
19	6429	6.0%
20	5894	5.5%
Other values (32)	28033	26.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6441	6.0%
2	3411	3.2%
4	4723	4.4%
6	6720	6.3%
7	7928	7.4%
9	10099	9.5%
11	8644	8.1%
13	9670	9.1%
15	7776	7.3%
17	8009	7.5%

Value	Count	Frequency (%)
130	1	< 0.1%
87	2	< 0.1%
74	3	< 0.1%
72	1	< 0.1%
69	1	< 0.1%
67	3	< 0.1%
65	3	< 0.1%
63	6	< 0.1%
61	11	< 0.1%
59	4	< 0.1%

WindSpeed3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	< 0.1%
Missing	1991
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	18.6318978

Minimum	0
Maximum	87
Zeros	828
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	13
median	19
Q3	24
95-th percentile	35
Maximum	87
Range	87
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.805657478
Coefficient of variation (CV)	0.4726119462
Kurtosis	0.7510760031
Mean	18.6318978
Median Absolute Deviation (MAD)	6
Skewness	0.6306762083
Sum	1949884
Variance	77.53960363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
17	9243	8.7%
13	9212	8.6%
20	8603	8.1%
15	8597	8.1%
19	8225	7.7%
11	7334	6.9%
9	7143	6.7%
24	6605	6.2%
22	6350	6.0%
28	4786	4.5%
Other values (31)	28555	26.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	828	0.8%
2	739	0.7%
4	1658	1.6%
6	2844	2.7%
7	4415	4.1%
9	7143	6.7%
11	7334	6.9%
13	9212	8.6%
15	8597	8.1%
17	9243	8.7%

Value	Count	Frequency (%)
87	1	< 0.1%
83	1	< 0.1%
74	1	< 0.1%
72	1	< 0.1%
69	3	< 0.1%
65	14	< 0.1%
63	9	< 0.1%
61	14	< 0.1%
59	16	< 0.1%
57	18	< 0.1%

Humidity9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	1317
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	68.80237736

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	57
median	70
Q3	83
95-th percentile	98
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.09367738
Coefficient of variation (CV)	0.277514791
Kurtosis	-0.04113212112
Mean	68.80237736
Median Absolute Deviation (MAD)	13
Skewness	-0.4846030253
Sum	7246748
Variance	364.5685157
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	2490	2.3%
65	2230	2.1%
71	2214	2.1%
68	2204	2.1%
69	2200	2.1%
66	2187	2.1%
70	2184	2.0%
64	2181	2.0%
67	2160	2.0%
74	2135	2.0%
Other values (91)	83142	78.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	4	< 0.1%
2	3	< 0.1%
3	9	< 0.1%
4	18	< 0.1%
5	20	< 0.1%
6	32	< 0.1%
7	31	< 0.1%
8	40	< 0.1%
9	56	0.1%

Value	Count	Frequency (%)
100	2111	2.0%
99	2490	2.3%
98	1546	1.4%
97	1338	1.3%
96	1181	1.1%
95	1188	1.1%
94	1321	1.2%
93	1335	1.3%
92	1299	1.2%
91	1390	1.3%

Humidity3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	2712
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	51.43818073

Minimum	0
Maximum	100
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	16
Q1	36
median	52
Q3	66
95-th percentile	87
Maximum	100
Range	100
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	20.80630037
Coefficient of variation (CV)	0.4044913734
Kurtosis	-0.5127448091
Mean	51.43818073
Median Absolute Deviation (MAD)	14
Skewness	0.03567659358
Sum	5346073
Variance	432.9021352
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	2045	1.9%
53	2025	1.9%
52	2004	1.9%
57	1995	1.9%
59	1984	1.9%
58	1949	1.8%
50	1939	1.8%
54	1927	1.8%
56	1923	1.8%
51	1916	1.8%
Other values (91)	84225	79.0%
(Missing)	2712	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	18	< 0.1%
2	24	< 0.1%
3	44	< 0.1%
4	87	0.1%
5	121	0.1%
6	183	0.2%
7	222	0.2%
8	314	0.3%
9	362	0.3%

Value	Count	Frequency (%)
100	306	0.3%
99	314	0.3%
98	448	0.4%
97	286	0.3%
96	337	0.3%
95	345	0.3%
94	404	0.4%
93	438	0.4%
92	461	0.4%
91	461	0.4%

Pressure9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	532
Distinct (%)	0.6%
Missing	10537
Missing (%)	9.9%
Infinite	0
Infinite (%)	0.0%
Mean	1017.651975

Minimum	980.5
Maximum	1041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	980.5
5-th percentile	1006.2
Q1	1013
median	1017.6
Q3	1022.4
95-th percentile	1029.5
Maximum	1041
Range	60.5
Interquartile range (IQR)	9.4

Descriptive statistics

Standard deviation	7.105074105
Coefficient of variation (CV)	0.006981830996
Kurtosis	0.2419896874
Mean	1017.651975
Median Absolute Deviation (MAD)	4.7
Skewness	-0.09838386711
Sum	97803478.4
Variance	50.48207804
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1017.9	604	0.6%
1016.4	599	0.6%
1015.9	587	0.6%
1018.7	586	0.5%
1017.3	584	0.5%
1017.8	582	0.5%
1016.3	577	0.5%
1018.6	569	0.5%
1018	569	0.5%
1017.7	567	0.5%
Other values (522)	90283	84.7%
(Missing)	10537	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
980.5	1	< 0.1%
982.2	1	< 0.1%
982.3	1	< 0.1%
982.9	1	< 0.1%
983.7	1	< 0.1%
983.9	1	< 0.1%
985	1	< 0.1%
985.1	1	< 0.1%
985.9	1	< 0.1%
986.2	1	< 0.1%

Value	Count	Frequency (%)
1041	1	< 0.1%
1040.9	1	< 0.1%
1040.6	2	< 0.1%
1040.5	1	< 0.1%
1040.4	3	< 0.1%
1040.3	3	< 0.1%
1040.1	1	< 0.1%
1040	1	< 0.1%
1039.9	2	< 0.1%
1039.5	3	< 0.1%

Pressure3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	537
Distinct (%)	0.6%
Missing	10521
Missing (%)	9.9%
Infinite	0
Infinite (%)	0.0%
Mean	1015.254297

Minimum	977.1
Maximum	1039.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	977.1
5-th percentile	1004
Q1	1010.4
median	1015.2
Q3	1020
95-th percentile	1026.9
Maximum	1039.6
Range	62.5
Interquartile range (IQR)	9.6

Descriptive statistics

Standard deviation	7.035537253
Coefficient of variation (CV)	0.006929827605
Kurtosis	0.1375229134
Mean	1015.254297
Median Absolute Deviation (MAD)	4.8
Skewness	-0.04559367893
Sum	97589288.79
Variance	49.49878444
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1015.5	590	0.6%
1015.3	588	0.6%
1015.6	582	0.5%
1014.9	568	0.5%
1015.1	566	0.5%
1015.4	562	0.5%
1015.8	562	0.5%
1014.2	561	0.5%
1015.2	558	0.5%
1016	557	0.5%
Other values (527)	90429	84.8%
(Missing)	10521	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
977.1	1	< 0.1%
978.2	1	< 0.1%
979	1	< 0.1%
980.2	2	< 0.1%
981.4	1	< 0.1%
981.9	1	< 0.1%
982.6	1	< 0.1%
983.2	1	< 0.1%
983.3	1	< 0.1%
984	1	< 0.1%

Value	Count	Frequency (%)
1039.6	1	< 0.1%
1038.9	1	< 0.1%
1038.5	1	< 0.1%
1038.4	1	< 0.1%
1038.2	1	< 0.1%
1038	1	< 0.1%
1037.9	2	< 0.1%
1037.8	1	< 0.1%
1037.7	3	< 0.1%
1037.6	1	< 0.1%

Cloud9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	40341
Missing (%)	37.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.438486946

Minimum	0
Maximum	9
Zeros	6411
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.886584678
Coefficient of variation (CV)	0.6503533103
Kurtosis	-1.540334792
Mean	4.438486946
Median Absolute Deviation (MAD)	3
Skewness	-0.2241546001
Sum	294285
Variance	8.332371105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	14732	13.8%
1	11658	10.9%
8	10822	10.1%
0	6411	6.0%
6	6030	5.7%
2	4823	4.5%
3	4369	4.1%
5	4157	3.9%
4	3300	3.1%
9	1	< 0.1%
(Missing)	40341	37.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6411	6.0%
1	11658	10.9%
2	4823	4.5%
3	4369	4.1%
4	3300	3.1%
5	4157	3.9%
6	6030	5.7%
7	14732	13.8%
8	10822	10.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	10822	10.1%
7	14732	13.8%
6	6030	5.7%
5	4157	3.9%
4	3300	3.1%
3	4369	4.1%
2	4823	4.5%
1	11658	10.9%
0	6411	6.0%

Cloud3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	42953
Missing (%)	40.3%
Infinite	0
Infinite (%)	0.0%
Mean	4.501515128

Minimum	0
Maximum	9
Zeros	3684
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	833.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.718442459
Coefficient of variation (CV)	0.6038949958
Kurtosis	-1.457578751
Mean	4.501515128
Median Absolute Deviation (MAD)	2
Skewness	-0.2224453334
Sum	286706
Variance	7.389929405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	13510	12.7%
1	11101	10.4%
8	9254	8.7%
6	6615	6.2%
2	5367	5.0%
3	5145	4.8%
5	5079	4.8%
4	3935	3.7%
0	3684	3.5%
9	1	< 0.1%
(Missing)	42953	40.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3684	3.5%
1	11101	10.4%
2	5367	5.0%
3	5145	4.8%
4	3935	3.7%
5	5079	4.8%
6	6615	6.2%
7	13510	12.7%
8	9254	8.7%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	9254	8.7%
7	13510	12.7%
6	6615	6.2%
5	5079	4.8%
4	3935	3.7%
3	5145	4.8%
2	5367	5.0%
1	11101	10.4%
0	3684	3.5%

Temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	433
Distinct (%)	0.4%
Missing	661
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	16.98934357

Minimum	-7.2
Maximum	39.4
Zeros	28
Zeros (%)	< 0.1%
Negative	309
Negative (%)	0.3%
Memory size	833.3 KiB

Quantile statistics

Minimum	-7.2
5-th percentile	6.9
Q1	12.3
median	16.7
Q3	21.6
95-th percentile	28.2
Maximum	39.4
Range	46.6
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.497897783
Coefficient of variation (CV)	0.3824690315
Kurtosis	-0.3541248313
Mean	16.98934357
Median Absolute Deviation (MAD)	4.6
Skewness	0.09114657837
Sum	1800581.6
Variance	42.22267559
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	673	0.6%
13.8	657	0.6%
17	654	0.6%
14.8	651	0.6%
16.5	643	0.6%
15	641	0.6%
13	639	0.6%
14	637	0.6%
15.6	632	0.6%
17.8	628	0.6%
Other values (423)	99528	93.3%
(Missing)	661	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7.2	1	< 0.1%
-7	1	< 0.1%
-5.6	1	< 0.1%
-5.5	2	< 0.1%
-5.2	3	< 0.1%
-4.8	1	< 0.1%
-4.5	2	< 0.1%
-4.4	1	< 0.1%
-4.3	3	< 0.1%
-4.2	2	< 0.1%

Value	Count	Frequency (%)
39.4	1	< 0.1%
39.1	1	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
38.3	1	< 0.1%
38.2	1	< 0.1%
37.7	2	< 0.1%
37.6	3	< 0.1%
37.5	2	< 0.1%
37.4	2	< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	494
Distinct (%)	0.5%
Missing	2045
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	21.69275519

Minimum	-5.4
Maximum	46.2
Zeros	12
Zeros (%)	< 0.1%
Negative	128
Negative (%)	0.1%
Memory size	833.3 KiB

Quantile statistics

Minimum	-5.4
5-th percentile	11.5
Q1	16.6
median	21.1
Q3	26.4
95-th percentile	33.7
Maximum	46.2
Range	51.6
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	6.945127279
Coefficient of variation (CV)	0.3201588373
Kurtosis	-0.1547407308
Mean	21.69275519
Median Absolute Deviation (MAD)	4.9
Skewness	0.2423354878
Sum	2269040.5
Variance	48.23479292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.5	668	0.6%
20	660	0.6%
19	639	0.6%
18.4	638	0.6%
17.8	636	0.6%
19.3	628	0.6%
17.4	614	0.6%
17	613	0.6%
18	609	0.6%
19.4	608	0.6%
Other values (484)	98286	92.2%
(Missing)	2045	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-5.4	1	< 0.1%
-4.4	1	< 0.1%
-4.2	1	< 0.1%
-4	1	< 0.1%
-3.8	1	< 0.1%
-3.7	2	< 0.1%
-3.5	3	< 0.1%
-3.4	1	< 0.1%
-3.2	4	< 0.1%
-3.1	2	< 0.1%

Value	Count	Frequency (%)
46.2	1	< 0.1%
46.1	3	< 0.1%
45.9	1	< 0.1%
45.4	1	< 0.1%
45.3	1	< 0.1%
45.2	1	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%
44.8	3	< 0.1%
44.7	3	< 0.1%

RainToday
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1034
Missing (%)	1.0%
Memory size	208.4 KiB

False	82065
True	23545
(Missing)	1034

Common Values
Chart

Value	Count	Frequency (%)
False	82065	77.0%
True	23545	22.1%
(Missing)	1034	1.0%

RainTomorrow
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	104.3 KiB

False	82786
True	23858

Common Values
Chart

Value	Count	Frequency (%)
False	82786	77.6%
True	23858	22.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Date	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
0	2012/1/19	MountGinini	12.1	23.1	0.0	NaN	NaN	W	30.0	N	NW	6.0	11.0	60.0	54.0	NaN	NaN	NaN	NaN	17.0	22.0	No	No
1	2015/4/13	Nhil	10.2	24.7	0.0	NaN	NaN	E	39.0	E	NNE	13.0	9.0	63.0	33.0	1021.9	1017.9	NaN	NaN	12.5	23.7	No	Yes
2	2010/8/5	Nuriootpa	-0.4	11.0	3.6	0.4	1.6	W	28.0	N	W	4.0	20.0	97.0	78.0	1025.9	1025.3	7.0	8.0	3.9	9.0	Yes	No
3	2013/3/18	Adelaide	13.2	22.6	0.0	15.4	11.0	SE	44.0	E	WSW	15.0	15.0	47.0	34.0	1025.0	1022.2	NaN	NaN	15.2	21.7	No	No
4	2011/2/16	Sale	14.1	28.6	0.0	6.6	6.7	E	28.0	NE	E	4.0	19.0	92.0	42.0	1018.0	1014.1	4.0	7.0	19.1	28.2	No	No
5	2013/4/16	Walpole	16.1	21.6	0.0	NaN	NaN	E	26.0	NaN	S	0.0	7.0	94.0	82.0	1014.7	1013.6	NaN	NaN	18.7	21.0	No	No
6	2016/8/12	Albany	8.5	16.4	5.0	2.2	NaN	NaN	NaN	NW	NaN	9.0	NaN	78.0	NaN	1023.5	1022.3	6.0	NaN	11.6	NaN	Yes	No
7	2011/8/7	Moree	10.8	19.4	0.0	3.8	1.2	NNE	33.0	N	WNW	26.0	7.0	67.0	53.0	1019.7	1015.2	7.0	7.0	16.1	19.2	No	No
8	2009/9/3	Bendigo	9.0	20.6	0.0	4.0	NaN	WNW	48.0	NNE	WNW	19.0	7.0	54.0	60.0	1012.3	1008.6	1.0	7.0	13.2	15.9	No	Yes
9	2014/10/15	NorfolkIsland	14.0	21.1	0.0	6.6	6.2	ENE	37.0	NE	NE	15.0	20.0	58.0	80.0	1022.8	1021.1	1.0	7.0	19.3	18.5	No	No

Last rows

	Date	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
106634	2014/6/11	AliceSprings	1.1	24.4	0.0	3.8	10.3	ENE	24.0	WSW	E	9.0	9.0	42.0	30.0	1018.9	1012.9	2.0	2.0	10.0	23.2	No	No
106635	2009/5/27	Mildura	6.4	17.1	0.0	1.6	8.0	SSW	26.0	SSW	SW	11.0	17.0	97.0	53.0	1024.5	1022.3	1.0	5.0	8.4	16.5	No	No
106636	2017/3/16	PearceRAAF	10.9	29.0	0.2	NaN	11.1	E	52.0	E	NE	28.0	13.0	51.0	29.0	1017.7	1013.0	NaN	NaN	19.9	28.4	No	No
106637	2017/2/19	Newcastle	NaN	23.5	3.2	NaN	NaN	NaN	NaN	SW	NaN	9.0	NaN	89.0	NaN	NaN	NaN	7.0	NaN	21.0	NaN	Yes	No
106638	2013/12/2	SalmonGums	13.9	31.0	0.0	NaN	NaN	SSE	48.0	ENE	SW	11.0	9.0	56.0	28.0	NaN	NaN	NaN	NaN	20.9	28.8	No	No
106639	2011/5/23	Launceston	10.1	16.1	15.8	NaN	NaN	SE	31.0	NNW	NNW	4.0	7.0	99.0	86.0	999.2	995.2	NaN	NaN	13.0	15.6	Yes	Yes
106640	2014/12/9	GoldCoast	19.3	31.7	36.0	NaN	NaN	SE	80.0	NNW	NNE	17.0	30.0	75.0	76.0	1013.8	1010.0	NaN	NaN	26.0	25.8	Yes	Yes
106641	2014/10/7	Wollongong	17.5	22.2	1.2	NaN	NaN	WNW	65.0	WNW	NE	39.0	19.0	61.0	56.0	1008.2	1008.2	NaN	NaN	17.8	21.4	Yes	No
106642	2012/1/16	Newcastle	17.6	27.0	3.0	NaN	NaN	NaN	NaN	NE	NE	6.0	15.0	68.0	88.0	NaN	NaN	6.0	5.0	22.6	26.4	Yes	No
106643	2014/10/21	AliceSprings	16.3	37.9	0.0	14.2	12.2	ESE	41.0	NNE	NE	20.0	13.0	8.0	6.0	1017.9	1014.0	0.0	1.0	32.2	35.7	No	No

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows